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This study applied a combined analytical hierarchy process (AHP) and goal programming (GP) model to assist decision makers in identifying and prioritizing key investment climate (IC) indicators for waste recycling and reuse enterprises in developing countries. Taking a sector based perspective, key IC criteria and indicators were identified and ranked through country stakeholder workshops in Ghana and Kenya. Three different key decision maker groups namely government agencies, private waste reuse enterprises and non-governmental organizations (NGOs) were involved in identifying and ranking of IC criteria and indicators. The IC criteria identified were policy and infrastructure, finance, business support and markets. A number of indicators across each of the criteria were also identified. By incorporating qualitative and quantitative assessments, criteria and indicator rankings are determined using the AHP and GP model. Model results for Ghana revealed that both the private sector and NGO group ranked finance as the most important criterion while markets was the most important criterion for the government organization group. In contrast, none of the stakeholder groups in Kenya ranked finance as the most important criterion. This indicates that reform priorities of waste reuse sector vary across countries depending on the country's current situation. The approach adopted in this study enables the criteria and indicators for assessing sector specific investment climate to be clearly identified and the decision making problem to be structured systematically. The exercise can be extended to other countries to elicit priority ranking of IC criteria and indicators for waste reuse enterprises.

By 2020, Dutch dairy chains envisage to be self-sufficient with regard to energy used by dairy farms and dairy processors. This would require dairy farms to produce 25 PJ per year, possibly by a combination of wind, solar and biogas. This paper focuses on biogas. To evaluate the project's viability we estimated the expected technical and financial performance of 4 types of business models, i.e. "CHP-farm", "CHP-large", "green gas" and "central upgrading of green gas". Data stem from among others 23 biogas plants in the Netherlands. Anticipating that CHP-models and green gas models occur with a likelihood of 40% and 60% respectively, the total number of biogas plants would amount to 232 (1% of dairy farms), including a total of 5 million tons of manure per year (14% of all cattle manure in the Netherlands) and annual government subsidies of Euro 295 million. Aggregated annual profits are expected to be positive, but over the project's total life time there is an expected deficit of Euro 262. For this to change costs of feedstocks or digestate disposal costs would for instance have to go down. Also fully switching to green gas models dampens the deficit. Results are used in current stakeholders debates on the organization of an "energy neutral dairy chain" in the Netherlands. Further analyses incorporating uncertainty around key technical and economic parameters including financial impacts of CO2-reductions are underway.